Francesco Gerbino
Development and integration of a FBG optical sensor network for prognostics of electromechanical actuators.
Rel. Matteo Davide Lorenzo Dalla Vedova, Paolo Maggiore, Alessandro Aimasso, Pier Carlo Berri. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2022
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Abstract
This thesis was developed at the Mechanical and Aerospace Engineering Department (DIMEAS) of the Politecnico di Torino. With the strong development of the more-eletric philosophy for aircraft, EMAs (Electro- mechanical actuators) are increasingly being used and represent a critical safety element. The development of prognostic algorithms makes it possible to increase the safety levels of EMAs. In this scenario a key role is played by sensors that enable the acquisition of input data for prognostic algorithms. FBGs (Fiber Bragg gratings) are innovative sensors that are very adaptable to the aerospace environment. FBGs guarantee high performances in terms of accuracy and sensibilty and offer a number of advantages over traditional sensors: they are immune to the electromagnetic interferences, they are light and small, and can be installed in series on the same cable.
The objective of this work is the development and integration of a FBG optical sensors network for prognostics on the Gearbox of an ex- perimental test bench reproducing an electromechanical servomechanism
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